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You could then also run it through SVGO to compress it further.



Indeed - looks like SVGO can crush that map from 500kB down to like 80kB! Users on constrained data plans will love that. Of course, the author notes they want higher fidelity at some point. They could consider breaking the SVG into quadrants, perhaps? Or something more clever :)




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